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The goal of Sketch-Based Image Retrieval (SBIR) is using free-hand sketches to retrieve images of the same category from a natural image gallery.
Semantic adversarial network for zero-shot sketch-based image retrieval
Xu, X.; Wang, H.; Li, L.; and Deng, C. 2019 · 1905
Earlier work this paper cites.
Visualizing data using t-SNE
Maaten, L. v. d.; and Hinton, G. 2008 · 2008
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.-J.; Li, K.; and Fei-Fei, L. 2009 · 2009
Earlier work this paper cites.
An evaluation of descriptors for large-scale image retrieval from sketched feature lines
Eitz, M.; Hildebrand, K.; Boubekeur, T.; and Alexa, M. 2010 · 2010
Earlier work this paper cites.
How do humans sketch objects?
Eitz, M.; Hays, J.; and Alexa, M. 2012 · 2012
Earlier work this paper cites.
DeVISE: A deep visual-semantic embedding model
Frome, A.; Corrado, G. S.; Shlens, J.; Bengio, S.; Dean, J.; Ranzato, M.; and Mikolov, T. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Mikolov, T.; Sutskever, I.; Chen, K.; Corrado, G. S.; and Dean, J. 2013 · 2013
Earlier work this paper cites.
Zero-shot learning through cross-modal transfer
Socher, R.; Ganjoo, M.; Manning, C. D.; and Ng, A. 2013 · 2013
Earlier work this paper cites.
Semi-supervised learning with deep generative models
Kingma, D. P.; Mohamed, S.; Rezende, D. J.; and Welling, M. 2014 · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
Kingma, D. P.; and Welling, M. 2014 · 2014
Earlier work this paper cites.
Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO)
Saavedra, J. M. 2014 · 2014
Earlier work this paper cites.
An embarrassingly simple approach to zero-shot learning
Romera-Paredes, B.; and Torr, P. 2015 · 2015
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Sketch based image retrieval using learned keyshapes (LKS)
Saavedra, J. M.; Barrios, J. M.; and Orand, S. 2015 · 2015
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Very deep convolutional networks for large-scale image recognition
Simonyan, K.; and Zisserman, A. 2015 · 2015
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InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
Chen, X.; Duan, Y.; Houthooft, R.; Schulman, J.; Sutskever, I.; and Abbeel, P. 2016 · 2016
Earlier work this paper cites.
Fine-grained sketch-based image retrieval: The role of part-aware attributes
Li, K.; Pang, K.; Song, Y.-Z.; Hospedales, T.; Zhang, H.; and Hu, Y. 2016 · 2016
Earlier work this paper cites.
Sketch-based image retrieval via siamese convolutional neural network
Qi, Y.; Song, Y.-Z.; Zhang, H.; and Liu, J. 2016 · 2016
Cited alongside, same era.
The sketchy database: Learning to retrieve badly drawn bunnies
Sangkloy, P.; Burnell, N.; Ham, C.; and Hays, J. 2016 · 2016
Cited alongside, same era.
Sketch me that shoe
Yu, Q.; Liu, F.; Song, Y.-Z.; Xiang, T.; Hospedales, T. M.; and Loy, C.-C. 2016 · 2016
Cited alongside, same era.
Learning cross-domain neural networks for sketch-based 3D shape retrieval
Zhu, F.; Xie, J.; and Fang, Y. 2016 · 2016
Cited alongside, same era.
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Higgins, I.; Matthey, L.; Pal, A.; Burgess, C.; Glorot, X.; Botvinick, M.; Mohamed, S.; and Lerchner, A. 2017 · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks
Kim, T.; Cha, M.; Kim, H.; Lee, J. K.; and Kim, J. 2017 · 2017
Multimodal unsupervised image-to-image translation
Huang, X.; Liu, M.-Y.; Belongie, S.; and Kautz, J. 2018 · 2018
Later among the works it cites.
Diverse image-to-image translation via disentangled representations
Lee, H.-Y.; Tseng, H.-Y.; Huang, J.-B.; Singh, M.; and Yang, M.-H. 2018 · 2018
Later among the works it cites.
Learning large euclidean margin for sketch-based image retrieval
Lu, P.; Huang, G.; Fu, Y.; Guo, G.; and Lin, H. 2018 · 2018
Later among the works it cites.
Zero-shot sketch-image hashing
Shen, Y.; Liu, L.; Shen, F.; and Shao, L. 2018 · 2018
Later among the works it cites.
A zero-shot framework for sketch based image retrieval
Yelamarthi, S. K.; Reddy, S. K.; Mishra, A.; and Mittal, A. 2018 · 2018
Later among the works it cites.
Doodle to search: Practical zero-shot sketch-based image retrieval
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Cited alongside, same era.
Semantic autoencoder for zero-shot learning
Kodirov, E.; Xiang, T.; and Gong, S. 2017 · 2017
Cited alongside, same era.
Deep sketch hashing: Fast free-hand sketch-based image retrieval
Liu, L.; Shen, F.; Shen, Y.; Liu, X.; and Shao, L. 2017 · 2017
Cited alongside, same era.
Sketch-a-net: A deep neural network that beats humans
Yu, Q.; Yang, Y.; Liu, F.; Song, Y.-Z.; Xiang, T.; and Hospedales, T. M. 2017 · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y.; Park, T.; Isola, P.; and Efros, A. A. 2017 · 2017
Cited alongside, same era.
Deep cross-modality adaptation via semantics preserving adversarial learning for sketch-based 3D shape retrieval
Chen, J.; and Fang, Y. 2018 · 2018
Cited alongside, same era.
Isolating sources of disentanglement in variational autoencoders
Chen, R. T.; Li, X.; Grosse, R. B.; and Duvenaud, D. K. 2018 · 2018
Cited alongside, same era.
Dey, S.; Riba, P.; Dutta, A.; Llados, J.; and Song, Y.-Z. 2019 · 2019
Closest in time.
Semantically tied paired cycle consistency for zero-shot sketch-based image retrieval
Dutta, A.; and Akata, Z. 2019 · 2019
Closest in time.
Style-guided zero-shot sketch-based image retrieval
Dutta, T.; and Biswas, S. 2019 · 2019
Closest in time.
Semantic-aware knowledge preservation for zero-shot sketch-based image retrieval
Liu, Q.; Xie, L.; Wang, H.; and Yuille, A. L. 2019 · 2019
Closest in time.
Product of orthogonal spheres parameterization for disentangled representation learning
Shukla, A.; Bhagat, S.; Uppal, S.; Anand, S.; and Turaga, P. 2019 · 2019
Closest in time.
Generative model for zero-shot sketch-based image retrieval
Verma, V. K.; Mishra, A.; Mishra, A.; and Rai, P. 2019 · 2019
Closest in time.
TET-GAN: Text effects transfer via stylization and destylization
Yang, S.; Liu, J.; Wang, W.; and Guo, Z. 2019 · 2019
Closest in time.
Joint discriminative and generative learning for person re-identification
Zheng, Z.; Yang, X.; Yu, Z.; Zheng, L.; Yang, Y.; and Kautz, J. 2019 · 2019
Closest in time.
Zero-shot sketch-based image retrieval via graph convolution network
Zhang, Z.; Zhang, Y.; Feng, R.; Zhang, T.; and Fan, W. 2020 · 2020
Closest in time.
Exploring disentangled feature representation beyond face identification
Liu, Y.; Wei, F.; Shao, J.; Sheng, L.; Yan, J.; and Wang, X. 2018 · 2089
Closest in time.